Titlebook: Anti-Fraud Engineering for Digital Finance; Behavioral Modeling Cheng Wang Book 2023 Tongji University Press 2023 Learning Automata.Fraud

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https://doi.org/10.1007/978-3-322-89750-3iction of online credit loan services (OCLSs) is such a typical scenario. But it has another rather critical challenge, i.e., the scarcity of data labels. Fortunately, GNNs can also cope with this problem due to their good ability of semi-supervised learning by mining structure and feature informati

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Einführung in die Kostenrechnung.as a promising solution for online lending gang fraud prediction. However, it is challenging that such predictions need to detect evolving and increasingly impalpable fraud patterns based on low-quality data, i.e., very preliminary and coarse applicant information. The technical difficulty mainly st

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Overview of Digital Finance Anti-fraud,lment and cross region, which poses great challenges to traditional anti fraud methods. Therefore, the anti fraud technology should also be constantly innovated. It is not only necessary to accurately combat the existing risks, but also to take the lead to prevent problems before they occur. The beh

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